In an example embodiment, using several computerized innovative data anonymization techniques, sensitive and personal data can be anonymized so that it can be used in further analysis without revealing the individuals to which the data applies. More particularly, a privacy view is created for a microdata table by generating one or more transformations, based on an anonymization method. Only once a request for data in the microdata table is received from a data consumer is the privacy view populated or repopulated with the most recent data from the microdata table by transforming it using the one or more transformations.